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We conducted a prospective-retrospective two-center cohort study involving 364 participants. The Discovery Cohort (n=282) enrolled from two centers consisted of healthy controls (n=80), patients with type 2 diabetes mellitus (T2DM) without kidney disease (n=102), and patients with confirmed DKD (...

2026-03-09 | MTBLS14007 | MetaboLights

BACKGROUND: Endometriosis is a common benign gynaecological disorder. A number of studies have confirmed that the occurrence of disease in endometriosis patients is associated with metabolic changes in biological fluids and tissues. We set out to investigate the metabolic charact...

2024-02-20 | MTBLS8621 | MetaboLights

INTRODUCTION: Type 2 Diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance and hyperglycemia, often preceded by latent metabolic disruptions. Early detection of metabolic alterations can facilitate timely intervention to delay or prevent T2DM onset. Metaboli...

2025-08-04 | MTBLS10965 | MetaboLights
To better understand the molecular mechanisms underpinning physiological variation in human populations, metabolic phenotyping approaches are increasingly being applied to studies involving hundreds and thousands of biofluid samples. Hyphenated ultra-performance liquid chromatography-mass spectromet...
2022-03-01 | MTBLS719 | MetaboLights

Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...

2020-07-13 | MTBLS816 | MetaboLights

BACKGROUND & AIMS: The effectiveness of surveillance for hepatocellular carcinoma (HCC) in patients with cirrhosis is limited, due to inadequate risk stratification and suboptimal performance of current screening modalities.

METHODS: We developed a mult...

2024-05-09 | MTBLS8764 | MetaboLights

Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...

2020-07-13 | MTBLS787 | MetaboLights

Study question: Can a novel machine learning pipeline create predictive models that identify a composite biomarker to differentiate live normally sited pregnancies (LNSP) from non-viable pregnancies in women presenting with pain and/or bleeding in early gestation?

Summary answer: Serum met...

2025-08-14 | MTBLS6219 | MetaboLights

Aging has shown close link to shifts in the skin microbiome in population cohort study. However, how variations in microbial communities relate to divergent skin aging within individuals of the same chronological ages remains unclear. In this study, we performed phenotypic, metabolomic and metage...

2025-01-03 | MTBLS11994 | MetaboLights
This study evaluates changes in metabolite levels in hepatocellular carcinoma (HCC) cases vs. patients with liver cirrhosis by analysis of human blood plasma using gas chromatography coupled with mass spectrometry (GC-MS). Untargeted metabolomic analysis of plasma samples from participants recruited...
2015-08-13 | MTBLS105 | MetaboLights
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